Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Expression data from inducible ES stable cell lines


ABSTRACT: In order to identify the effects of the induction of the gene of interest on the mouse ES transcriptome, we performed Affymetrix Gene-Chip hybridization experiments for the different inducible cell lines Transcriptome analysis of the inducible transgenic mouse ES cell lines For the analysis on the different inducible cell lines, total RNA was extracted from three biological replicates grown in medium deprived of Tetracycline for 17 and 24 hours; RNA extracted from un-induced clones was used as control. Total RNA extracted from parental cell line EBRTcH3 (EB3) was used as additional control.

ORGANISM(S): Mus musculus

SUBMITTER: Rossella De Cegli 

PROVIDER: E-GEOD-32015 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation.

De Cegli Rossella R   Iacobacci Simona S   Flore Gemma G   Gambardella Gennaro G   Mao Lei L   Cutillo Luisa L   Lauria Mario M   Klose Joachim J   Illingworth Elizabeth E   Banfi Sandro S   di Bernardo Diego D  

Nucleic acids research 20121123 2


Gene expression profiles can be used to infer previously unknown transcriptional regulatory interaction among thousands of genes, via systems biology 'reverse engineering' approaches. We 'reverse engineered' an embryonic stem (ES)-specific transcriptional network from 171 gene expression profiles, measured in ES cells, to identify master regulators of gene expression ('hubs'). We discovered that E130012A19Rik (E13), highly expressed in mouse ES cells as compared with differentiated cells, was a  ...[more]

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